Pixel Classification based Brain MR Image Segmentation

被引：0

作者：

Chaudhari, Archana ^{[1
]}

Pawar, Abhijit ^{[2
]}

Kulkarni, Jayant ^{[1
]}

机构：

[1] Vishwakarma Inst Technol, Dept Instrumentat, Pune, Maharashtra, India

[2] SK Navale Med Coll, Dept Radiol, Pune, Maharashtra, India

来源：

2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL INSTRUMENTATION AND CONTROL (ICIC) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Brain image segmentation is challenging task for proper clinical diagnosis. Automatic segmentation of the brain into four classes namely background, cerebro spinal fluid, grey and white matter is presented in this work. Accurate segmentation of the tumor in the brain is also achieved using the proposed method. Classification of the pixels in different classes is achieved by comparing their inter class distances. The proposed method ensures average Jaccard index and Dice coefficient as 0.8173 and 0.8952 respectively.

引用

页码：462 / 465

页数：4

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